MBA, MAM, and GBS students at the Yale School of Management may pursue an optional concentration in management science drawing on Yale SOM faculty’s broad expertise in applying quantitative methods to challenges in business and management. International students who pursue the management science concentration will have the opportunity to qualify for an additional two-year STEM extension of the Post-Completion OPT work permission*. Students will earn the concentration by completing a minimum of 16 credit units (cu) of eligible courses. For MBA students, 6 cu of the requirement will come from the MBA core.
The following definition of management science, stated in the U.S. Department of Education’s Classification of Instructional Programs (CIP), guides a faculty committee in determining which courses are eligible for the concentration:
The Management Science concentration is a general program focusing on the application of statistical modeling, data warehousing/mining, programming, forecasting, and operations research techniques to the analysis of problems of business organization and performance. Includes instruction in optimization theory and mathematical techniques, data warehousing/mining, stochastic & dynamic modeling, operations analysis, and the design and testing of prototype systems/evaluation models.
*Enrollment in a STEM field is the first qualification in a series of eligibility criteria for STEM OPT extension. Further information about eligibility and requirements for the STEM OPT extension is available on the Department of Homeland Security website and through Yale’s Office of International Students and Scholars.
Students may apply 1 non-SOM course (4 units) toward the management science concentration from the pre-approved list below.
|CPSC 100 (also known as CS50)||Introduction to Computing and Programming|
|CPSC 110||Python Programming for Humanities and Social Sciences|
|CPSC 112||Introduction to Programming|
|CPSC 123||YData: An Introduction to Data Science (cross-list with S&DS 123, PLSC 351, S&DS 523)|
|CPSC 201||Introduction to Computer Science|
|CPSC 223||Data Structures and Programming Techniques|
|CPSC 365||Algorithms (Cross-list ECON 365)|
|GLBL 6115||Topics in Computer Science and Global Affairs|
|S&DS 262||Computational Tools for Data Science (cross-list AMTH 262, S&DS 562)|
|S&DS 265/S&DS 565||Introductory Machine Learning (formerly S&DS 355 Introduction to Machine Learning)|
|S&DS 365||Applied Data Mining and Machine Learning (cross-list S&DS 565)|
|BIS 515||Accelerated Biostatistics|
*Some courses may not be offered in the current academic year (2023-2024) *
*Updated as of October 30, 2023*